Applications are invited for PhD Scholarships in Statistical / Machine Learning from domestic and international students for the academic year 2018-2019. Applicants are required to gain admission to and enrol in the Bachelor of Mathematics or a related degree as full-time students.
Course Level: Scholarships are available for pursuing PhD programme.
Eligibility Criteria: Applicants should hold, or be close to completing, an Honours 1 undergraduate degree or a Masters degree in Statistics, Machine Learning, or a closely related field. The ideal candidate will have an interest in the development of statistical learning/machine learning methodology and computation, excellent mathematical and programming skills, and an interest in using them to model and predict environmental phenomena. Self-motivation, a strong research potential, and good oral and written communication skills are essential criteria.
Method of Application:
Applications must include a copy of your CV detailing your previous education experience and academic transcripts. It is expected that the successful applicant will be available to commence this scholarship by October 31, 2018.